questions. After having tested to 30 students of Class XI Accounting SMK Negeri
1 Yogyakarta, then the results for questionnaire of the Students Perception about the Teachers’ Performance from 25 items, question
number 4 was revealed to be disqualified and Learn Motivation from 20 items, question number 2 were revealed to be disqualified. The results of
the validity test of the instrument were summarized in the table below: Table 6. The Results of Instrument Validity Test
Variable Total of
Item in the
Beginning Total of
Eliminated Item
Number of Eliminated
Item Total of
Valid Item
Students Perception about
Teacher Performance X
1
25 4
4, 10, 11, 12 21
Learning Motivation X
2
20 2
8, 14 18
Total 45
6 39
Sources: Processed Primary Data The disqualified or invalid items had been removed and the valid
items according to researcher were still fairly enough to represent each of indicators to be revealed, so the instrument is still eligible to be used.
2. Instrument Reliability Test
Reliability Test this instrument is intended to test and know the degree of wholeness of a measuring instrument. Reliability is an index that shows
the extent to which measurement tools can be trusted or relied upon. Reliability test instrument use Alpha Cronbach formula, namely:
∑
Description: r
ll
: Reliability instrument k
: Number of grains or question the number reserved ∑σ
2
b : Sum of grains variants
σ
2
t : Variant total
Suharsimi, 2010: 239 On this research for interpret test instrument use guidelines from
Sugiyono 2009: 231, as follows: Table 7. Interprestation Interval Research Instrument Reliability
Interval Coefficient Relationship Rate
0.00-0.199 Very Low
0.20-0.399 Low
0.40-0.599 Moderate
0.60-0.799 Strong
0.80-1.00 Very Strong
Instrument is said to reliable coefficient alpha if more than or equal to 0.600. Conversely, if reliability is less than 0.600 then instrument is not
reliability. Reliability test results by utilizing the program SPSS Statistics. Reliability test results by utilizing the program SPSS Statistics get
the general conc lusions that the instrument of Students’ Perception about
the Teachers’ Performance and Learning Motivation could be said to be reliable. Those results can be seen in the following table:
Table 8. The results of Instruments’ Reliability test
No Instrument for Variable
Coefficient Alpha Cronbach
Reliability Information
1 Students Perception about
Teacher Performance X
1
0.876 Very Strong
2 Learning Motivation X
2
0.895 Very Strong
Sources: Processed Primary Data
I. Data Analysis Technique
1. Data Description
Technique of Data Analysis Data Description Data obtained from the field, presented in the form of a description of each data variable, either
free or bound variables are variables. The analysis of the data description is meant include presentation of the Mean M, the Median Me, the
modus Mo, standard deviation SD, frequency distribution Tables, graphs, and tables Category trend of each variable.
a. Mean, Median, Modus, and Standard Deviation The Mean is the average count data. The mean is calculated from the
sum of all values in the data divided the number of data. The median is the middle value when a data values from data compiled sort by the
magnitude of the data. The modus is the value that appears most often data or data values with the greatest frequency. Standard deviation is a
measure of the spread of the data because it has a unit of data and the middle value. Determination of the Mean M, the Median Me, the
modus Mo, and the standard deviation SD is done with the help of SPSS statistics.
b. Frequency Distribution Table 1 Determine the amount of frequency distribution class intervals
To determine the length of interval, use the formula Sturge Rule, namely:
Description: k : number of class intervals
n : number of observational data log : logarithms
Sugiyono, 2010: 35
2 Calculate the range of classes
To calculate range data, use the following formula: Span class = maximum score
– minimum score 3 Determines the length of the class
To specify the length of the class use the following formula:
4 Histogram The Histogram data is based on the frequency that has been shown
in a frequency distribution table.
5 Table of variable inclination The next description is the determination of score
categorization, obtained by each variable. From score is then divided into 3 categories. This was carried out based on the Mean
and SD of the acquired. Variable data research categorized by the following rules:
1 very Good group All students whose score were X
≥ M + 1.5 SD. 2 Good Groups
All of students whose score were M ≤ X . M + 1.5 SD
3 Less groups All students who have score M
– 1.5 SD ≤ X M 4 group is very less
All students who have score X ≤ M – 1.5 SD.
Djemari Mardapi, 2008: 123 6 Pie Chart
Pie chart is created based on the data of the trend that has been shown in the table variable inclination.
2. Analysis Prerequisite Test
